{"id":"W6887412938","doi":"10.15468/dl.z6rk6c","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001059606,0.001966436,0.001593307,0.005178135,0.001012626,0.002733975,0.002661534,0.002113511,0.1681463],"category_scores_gemma":[0.006663384,0.0008972483,0.001259056,0.009732046,0.0004554031,0.002354823,0.002615514,0.001958756,0.2294171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547455,"about_ca_system_score_gemma":0.00237148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02098716,"about_ca_topic_score_gemma":0.03219287,"domain_scores_codex":[0.9989085,0.000154524,0.0001390299,0.0003823029,0.0002371194,0.0001784914],"domain_scores_gemma":[0.9972211,0.0008523295,0.0002473136,0.0007085785,0.0006699895,0.0003007234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002958825,0.00001193051,0.0004294201,0.0005816252,0.00001505997,0.00001615005,0.00002493718,0.0001306172,0.0001157543,0.0003721808,0.996796,0.001476799],"study_design_scores_gemma":[0.00007238305,0.000009126,0.001943366,0.0002201041,0.00001514615,0.00003773755,0.00008205227,0.0001607423,0.0001828224,0.0007898566,0.9964687,0.00001795208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004330726,0.00002827129,0.0000438407,0.00004017325,0.00001309224,0.000005690176,0.9988045,0.0003909537,0.0006302967],"genre_scores_gemma":[0.0001742338,0.00003668328,0.0002019097,0.00005176483,0.000004126578,0.00004673518,0.998835,0.0001607042,0.0004888173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8318537,"threshold_uncertainty_score":0.5625053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}